|    | 
CImCombine:MaskedMean
The MaskedMean method merges the pixel values excluding 0-value pixels from the distribution at each point. The value 0 is therefore a mask value.
| CImage = CImCombine:MaskedMean( CImageSet ) | 
 CImageSet contains the collection of images to be
combined.
    CImageSet contains the collection of images to be
combined.
 CImage is a new image created by this method.
    CImage is a new image created by this method.
 On success,
this method returns a new CImage.
    On success,
this method returns a new CImage.
 On failure,
this method returns nil.
    On failure,
this method returns nil.
Each pixel in the output image is the mean value of all images except for those with a value of zero (0).
Suppose a CImageSet named S exists. The following script fragment combines the images by the MaskedMean method. The images are normalized by the Median statistic computed inside the central 10% of the image:
| C = CImCombine:new() | -- create a CImCombine object | 
| R = CRect:new(10,50,10,50) | -- central 10% of the image | 
| C:SetRelRect( R ) | -- specify CImage and CRect to measure | 
| C:SetNormStat("median") | -- use the MmClip as the normalization statistic | 
| C:SetNormMethod("scale") | -- scale to normalize the image set | 
| I = C:MaskedMean( S ) | -- combine the image set and return a new image | 
| I:Display() | -- show the new image | 
| C:delete() | -- when done with S, remove it from memory |